ABOUT ME

I'm a B-Tech in Computer Science & Engineering. I'm presently working as a Research Associate-1 in Women's Health & Ultrasound Research department at Philips, India. I have experience in coding in Python, C, C++, Java. I'm familiar with several machine learning / deep learning libraries such as tensorflow, keras, pytorch, numpy, pandas, sklearn. I have worked on several projects involving Computer Vision, Image Processing, Machine Learning & have done 2 internships during which I worked on Software development in Python / C++, Machine Learning, Time-series analysis & Deep Learning.

My current interests revolve around enhancement of Ultrasound Imaging workflow using Deep Learning algorithms

Technical Skills

I'm proficient in following technologies/frameworks

Python

90%

C

80%

C++

80%

Java

70%

Computer Vision

80%

Scikit-Learn

80%

Image Processing

80%

Machine Learning

70%

HTML, CSS

70%

ASP.NET

60%

C#

60%

JavaScript

50%

Agile Development

90%

Tensorflow

80%

Keras

80%

PyTorch

70%

My Experience

  • Research Associate-1

    1. Dataset preparation & pre-processing
    2. Trained & fine-tuned neural networks
    3. Developed a pipeline for auto-labeling the images & saving the annotations in an excel sheet/xml file.
    4. Built an offline python prototype that identifies the optimum view for liver fat quantification
    5. Developed an application which allows user to compare the performances of several neural network models visually & generate inference report
    Company - Philips Innovation Campus
    Duration - Aug 2020 to Present
    Location - Bangalore, India

  • Research Intern

    1. Worked on volume rendering & visualization
    2. Implemented a 3D convolutional neural network for dense semantic segmentation of a fetal heart
    3. Worked on placental volume stitching
    4. Developed a workflow on Philips's software platform for liver fat quantification
    Company - Philips Innovation Campus
    Duration - Jan 2020 to Aug 2020
    Location - Bangalore, India

  • Machine Learning Intern

    1. Worked on data cleaning & pre-processing
    2. Predicted consumer eating patterns using time series analysis
    3. Compared the performances of several classification algorithms before & after re-sampling for the task of classifying a credit card transaction as fraudulent or non-fraudulent
    Company - Maxgen Technologies Pvt. Ltd.
    Duration - May 2019 to July 2019
    Location - Pune, India

My Education

  • Bachelor of Technology (B.Tech.) in Computer Science & Engineering

    Pursued Bachelor's in Computer Science & Engineering from a renouned Engineering college in India
    Minor Specialization - Intelligent Systems
    Institute - Manipal Institute of Technology
    Location - Manipal, Karnataka, India
    Duration - July 2016 to Aug 2020
    CGPA - 7.8 (First Class)

  • Intermediate (HSC)

    Pursued 11th & 12th grade in Science Stream
    Institute - Modern College of Arts, Commerce & Science
    Location - Pune, India
    Duration - May 2014 to May 2016
    Percentage - 80.77% (Grade-1 with Distinction)

  • High School (SSC)

    Studied at Podar International School, Chinchwad affiliated to Central Board of Secondary Education (CBSE)
    Institute - Podar International School
    Location - Pune, India
    Duration - May 2013 to May 2014
    CGPA - 10

Projects

Brief description of the projects that I worked on

Road Lane Detection

Created a GUI that takes a video depicting a road as an input, segments out the road & detects the road lanes. In real world scenario, a vehicle would capture a video of road through rooftop camera or using sensors, segment out the road & detect road lanes. The vehicle would then navigate within the lanes.

Technologies Used: Python, Image processing, Computer Vision, Deep Learning
Github Link: Automated_Navigation

Finding Similarity between images using Feature Matching

Found similarity between 2 images using ORB feature detector. The similarity score lies within a range of 0%-100%. Explored if there is any change in similarity score after rotation, change in brightness / contrast.

Technologies Used: Python, Computer Vision
Github Link: Feature_Matching

Placement Portal

Created a portal for management of recruitment drive in colleges. Separate logins have been created for use by students, recruiters and admin. The system can be used for viewing job postings, applying for job, updating applicant profile, posting job details, viewing recruitment decision

Technologies Used: ASP.NET, C#, SQL
Github Link: Placement-Portal

Front-end of Restaurant Website

Developed a front-end for restaurant website which displays the menu & provides an option to order online. It has an option to add items in a cart. At the time of checkout, an order summary is displayed.

Technologies Used: HTML, CSS, JavaScript
Github Link: Front-end Restaurant Website

JavaScript Compiler

Designed a compiler for JavaScript language which is one of the OOP scripting languages used to add behavior to html pages.

Technologies Used: C, C++, Flex, Javascript, Bison
Github Link: JavaScript Compiler

Gym Management System

Created a Gym Management System which can be used by customers, trainers & admin. The application provides options to view customer details, trainer details, courses, dietary requirements & course fees. It provides a platform to monitor all Gym related activities

Technologies Used: Java Spring, SQL
Github Link: Gym-Management

Contact

+91-7720039980

mayureshwagh6@gmail.com

https://www.linkedin.com/in/mayuresh-wagh-3a4420182/

Made by Mayuresh Girish Wagh